R9 9950X + ASUS RTX 5080 ROG Astral 16GB Maxed Out OC ASUS System Product Name
Geekbench AI Score
39977
Single Precision Score
64800
Half Precision Score
30743
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | Makurin |
| Upload Date | February 03 2025 05:02 PM |
| Views | 33 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 5080 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro for Workstations (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ROG CROSSHAIR X870E HERO |
| Power Plan | Ultimate Performance |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 9950X 16-Core Processor |
| Topology | 1 Processor, 16 Cores, 32 Threads |
| Identifier | AuthenticAMD Family 26 Model 68 Stepping 0 |
| Base Frequency | 4.30 GHz |
| Cluster 1 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
16178
3.01 KIPS |
|
|
Image Classification (HP)
|
100% |
22992
4.28 KIPS |
|
|
Image Classification (Q)
|
100% |
14346
2.67 KIPS |
|
|
Image Segmentation (SP)
|
100% |
25028
405.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
33224
538.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
23893
388.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
268293
313.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
781938
912.4 IPS |
|
|
Pose Estimation (Q)
|
96% |
227923
267.0 IPS |
|
|
Object Detection (SP)
|
100% |
21681
1.72 KIPS |
|
|
Object Detection (HP)
|
100% |
32061
2.54 KIPS |
|
|
Object Detection (Q)
|
86% |
18500
1.49 KIPS |
|
|
Face Detection (SP)
|
100% |
59206
703.5 IPS |
|
|
Face Detection (HP)
|
100% |
81653
970.2 IPS |
|
|
Face Detection (Q)
|
97% |
49270
587.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
105423
812.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
190624
1.47 KIPS |
|
|
Depth Estimation (Q)
|
78% |
77604
619.7 IPS |
|
|
Style Transfer (SP)
|
100% |
392468
504.5 IPS |
|
|
Style Transfer (HP)
|
100% |
1267019
1.63 KIPS |
|
|
Style Transfer (Q)
|
98% |
341718
440.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
65683
2.43 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
97595
3.60 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
48305
1.79 KIPS |
|
|
Text Classification (SP)
|
100% |
4334
5.79 KIPS |
|
|
Text Classification (HP)
|
100% |
5523
7.37 KIPS |
|
|
Text Classification (Q)
|
97% |
2725
3.65 KIPS |
|
|
Machine Translation (SP)
|
100% |
6348
109.3 IPS |
|
|
Machine Translation (HP)
|
100% |
6413
110.5 IPS |
|
|
Machine Translation (Q)
|
70% |
3034
56.9 IPS |
